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Transmit and receive filter optimization for wideband MIMO radar

Marie Ström (Institutionen för signaler och system, Signalbehandling) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling) ; Kent Falk
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on p. 9-12. (2011)
[Konferensbidrag, refereegranskat]

In this paper, we discuss the possibility to suppress interference for wideband multiple-input-multiple-output (MIMO) radar, using only the temporal properties of the signals. The idea is to use tunable filters each connected to a wideband waveform generator, and to derive the optimal power spectral density (PSD) of the resulting signals in a known environment. The metric used to evaluate the enhancement in the system performance is the signal-to-noise and interference ratio (SNIR), from which the optimal transmit and receive filter properties are derived. We discuss two optimization approaches: one alternating and one joint algorithm. Each method is separated into two cases: for a total power constraint and for an individual power constraint on the transmit filters, respectively. Numerical validation illustrates the possibility to suppress the interference in the temporal domain, without actually forming a spatial null in the direction of the interference.

Article number 6136056

Denna post skapades 2012-03-20. Senast ändrad 2016-07-26.
CPL Pubid: 156028


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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)


Annan matematik
Övrig elektroteknik, elektronik och fotonik

Chalmers infrastruktur